This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
We consider a privacy threat to a social network in which the goal of an attacker is to obtain knowledge of a significant fraction of the links in the network. We formalize the ty...
Aleksandra Korolova, Rajeev Motwani, Shubha U. Nab...
The proliferation of network data in various application domains has raised privacy concerns for the individuals involved. Recent studies show that simply removing the identities ...
A detailed understanding of the many facets of the Internet’s topological structure is critical for evaluating the performance of networking protocols, for assessing the effecti...
Lun Li, David Alderson, Walter Willinger, John Doy...
This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed k...